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Fengjuan Chen; Si Zhang; Qingtang Liu; Shufan Yu; Xiaojuan Li; Xinxin Zheng – Education and Information Technologies, 2025
Though online peer assessment is recognized as a critical factor in enhancing learning performance, pedagogical strategies and analysis of students' peer assessment at the group level, rather than the individual level, are underexplored. Online group assessment (OGA) focuses on assessing peer-group work in an online environment. A total of 64…
Descriptors: Peer Evaluation, Performance, Learning Processes, Computer Mediated Communication
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Tenzin Doleck; Pedram Agand; Dylan Pirrotta – Education and Information Technologies, 2025
As is rapidly becoming clear, data science increasingly permeates many aspects of life. Educational research recognizes the importance and complexity of learning data science. In line with this imperative, there is a growing need to investigate the factors that influence student performance in data science tasks. In this paper, we aimed to apply…
Descriptors: Prediction, Data Science, Performance, Data Analysis
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Jiechun Wang; Chun Li; Xueqian Zhou – Education and Information Technologies, 2024
Basketball, a dynamic team sport, demands a multifaceted approach to training and competition for players' well-being and optimal performance. This investigation aims to analyze basketball training with match-play demands and recovery strategies in the context of time-motion analysis. A descriptive research design with a quantitative approach was…
Descriptors: Team Sports, Athletes, Training, Performance
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Tommy Tanu Wijaya; Mingyu Su; Yiming Cao; Robert Weinhandl; Tony Houghton – Education and Information Technologies, 2025
Integrating AI Chatbots into teaching and learning activities is a growing trend, and understanding the readiness of preservice mathematics teachers to use AI Chatbots is crucial for successful implementation in educational settings. This study examines the factors influencing the adoption of AI Chatbots by preservice mathematics teachers in…
Descriptors: Foreign Countries, Artificial Intelligence, Educational Technology, Technology Uses in Education
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Shen, Guohua; Yang, Sien; Huang, Zhiqiu; Yu, Yaoshen; Li, Xin – Education and Information Technologies, 2023
Due to the growing demand for information technology skills, programming education has received increasing attention. Predicting students' programming performance helps teachers realize their teaching effect and students' learning status in time to provide support for students. However, few of the existing researches have taken the code that…
Descriptors: Prediction, Programming, Student Characteristics, Profiles
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Giannakas, Filippos; Troussas, Christos; Krouska, Akrivi; Sgouropoulou, Cleo; Voyiatzis, Ioannis – Education and Information Technologies, 2022
Working in groups is an important collaboration activity in the educational context, where a variety of factors can influence the prediction of the teams' performance. In the pertinent bibliography, several machine learning models are available for delivering predictions. In this sense, the main goal of the current research is to assess 28…
Descriptors: Comparative Analysis, Artificial Intelligence, Prediction, Cooperative Learning
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Maha Salem; Khaled Shaalan – Education and Information Technologies, 2025
The proliferation of digital learning platforms has revolutionized the generation, accessibility, and dissemination of educational resources, fostered collaborative learning environments and producing vast amounts of interaction data. Machine learning (ML) algorithms have emerged as powerful tools for analyzing these complex datasets, uncovering…
Descriptors: Electronic Learning, Prediction, Models, Educational Technology
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Fairuz Anjum Binte Habib – Education and Information Technologies, 2025
The incorporation of artificial intelligence (AI) into education is becoming more important over time, although faculty viewpoints on this integration are not well recognized. To analyze educators' attitudes towards AI tools in Bangladesh, this research built a modified model that included components from the technology acceptance model (TAM),…
Descriptors: Teacher Attitudes, Intention, Artificial Intelligence, Technology Uses in Education
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Arif Akçay; Arif Altun – Education and Information Technologies, 2024
Debugging is an intellectually rich and a challenging process when learning a programming language. This process is important for increasing the quality of the program and making it functional. Debugging, by its nature, is thought to be a practice with a state of focus and concentration. This study explored whether the debugging performance could…
Descriptors: Attention, Networks, Troubleshooting, Programming
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Joseph Kee-Ming Sia; Ivy S. H. Hii; Ling Jong; Wai Wah Low – Education and Information Technologies, 2024
Extensive research has been conducted to investigate the role of emojis in interpretation, impression, perceptions, personality and relationship building. However, in the higher education sector, few studies have examined how emojis influence the learning motivation and performance of students. Using the theories of source credibility and stimulus…
Descriptors: Visual Aids, Orthographic Symbols, Communication Skills, Student Motivation
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Ninh Nguyen; Thac Dang-Van; Tan Vo-Thanh; Trung Dam-Huy Thai; Hoang Viet Nguyen – Education and Information Technologies, 2025
Researchers have increasingly engaged in academic communities on social networking sites (SNSs). This study seeks to examine the impact of academic community engagement on Facebook (ACEF) on researchers' creative behaviour and work performance, with the mediating mechanisms of relationship quality and knowledge sharing. Data were obtained from 213…
Descriptors: Communities of Practice, Social Media, Web Sites, Computer Mediated Communication
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Nisar Ahmed Dahri; Noraffandy Yahaya; Muhammad Saleem Vighio; Nurul Farhana Jumaat – Education and Information Technologies, 2025
This study explores the impact of ChatGPT on educational efficacy using the Stimulus-Organism-Response (SOR) model with supportive concepts from the Self-Determination Theory (SDT) and the Technology Acceptance Model (TAM). To understand how Perceived Autonomy, Perceived Competence, Perceived Relatedness, Perceived Ease of Use, and Perceived…
Descriptors: Artificial Intelligence, Technology Uses in Education, Teaching Methods, Performance
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Gul, Shabana; Jamal, Waseef; Naeem, Muhammad – Education and Information Technologies, 2022
The study is the empirical application of Gul and Jamal's (2021) Transfer of Knowledge Index. The study presents the ranking of 17 public sector HEI by categorizing them into High, Medium, and Low transfer of knowledge activity HEI. In the process of ranking the HEI based on the transfer of knowledge, the study also highlights several issues that…
Descriptors: Public Colleges, Institutional Characteristics, Performance, Achievement Rating
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S. A. Zubairu; A. K. Yusuf; B. B. Raymond – Education and Information Technologies, 2024
The educational communities have come of age to reinvigorate instructional techniques, approaches and packages through augmentation of the existing traditional methods. The development of such new pedagogical and andragogical methods have recently paved way for the inclusion and use of technologies in education. In an attempt to establish…
Descriptors: Teaching Methods, High Schools, Technology Uses in Education, Educational Technology
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Siddhi Sreemahadevan; Vidya G – Education and Information Technologies, 2024
The use of digital media among student community has increased their level of distraction during classroom teaching. Capturing their attention in classrooms, has become a cumbersome task for teaching faculty. Therefore, most of the academic institutions have resorted to the use of activity-based learning for science and engineering students that…
Descriptors: Comparative Analysis, Performance, Evaluation Methods, Engineering Education
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